Scaling procedures : issues and applications

書誌事項

Scaling procedures : issues and applications

Richard G. Netemeyer, William O. Bearden, Subhash Sharma

Sage, c2003

  • : cloth
  • : pbk

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注記

Includes bibliographical references (p. 187-194) and indexes

内容説明・目次

内容説明

Effective measurement is a cornerstone of scientific research. Yet many social science researchers lack the tools to develop appropriate assessment instruments for the measurement of latent social-psychological constructs. Scaling Procedures: Issues and Applications examines the issues involved in developing and validating multi-item self-report scales of latent constructs. Distinguished researchers and award-winning educators Richard G. Netemeyer, William O. Bearden, and Subhash Sharma present a four-step approach for multi-indicator scale development. With these steps, the authors include relevant empirical examples and a review of the concepts of dimensionality, reliability, and validity. Interdisciplinary in application, this reader-friendly handbook includes A discussion of measurement in the social sciences and the importance of theory in scale development Techniques for assessing dimensionality of constructs An overview of reliability and validity models, theory, and criteria Suggestions for generating and judging measurement items Recommended procedures for designing and conducting studies to develop the scale Confirmatory Factor Analyses (CFA) for finalizing the scale Scaling Procedures: Issues and Applications supplies cutting-edge strategies for developing and refining measures. Providing concise chapter introductions and summaries, as well as numerous tables, figures, and exhibits, the authors present recommended steps and overlapping activities in a logical, sequential progression. Designed for graduate students in measurement/psychometrics, structural equation modeling, and survey research seminars across the social science disciplines, Scaling Procedures: Issues and Applications also addresses the needs of researchers and academics in all business, psychology, and sociology-related disciplines.

目次

About the Authors Chapter One: Introduction and Overview Purpose of the Book. Perspectives on Measurement in the Social Sciences. Latent Constructs Overview of dimensionality, reliability, and validity Overview of recommended procedures and steps in scale development. Chapter Two: Dimensionality Introduction. Dimensionality of construct, items, and a set of items. Does uni-dimensionality of a set of items imply uni-dimensionality of items or construct? Relevance of uni-dimensionality. How to assess dimensionality of constructs. Chapter Three: Reliability Introduction The true-score model Coefficient alpha Generalizability Theory Chapter Four: Validity Overview of Construct Validity Translation validity Criterion validity Convergent and discriminant validity Known-group validity Nomological validity Chapter Five: Steps 1 and 2: Construct Definition and Generating and Judging Measurement items Chapter 5: Steps 1 and 2: Construct Definition and Judging Measurement Items Introduction Step 1: Construct definition and content domain Step 2: Generating and judging measurement items Applications of Steps 1 and 2. Chapter Six: Step 3: Designing and Conducting Studies to Develop the Scale Introduction Pilot testing Conducting multiple studies for initial development and validation Initial item analyses: Exploratory factor analysis (EFA) Initial item and reliability analyses A final caveat EFA and item and reliability analyses examples from the literature Chapter 7: Step 4: Finalizing the Scale Introduction EFA and additional item analyses Confirmatory Factor Analyses (CFA) Additional evaluations of validity Establishing norms Applying generalizability theory Chapter Eight: Concluding Remarks Index

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詳細情報

  • NII書誌ID(NCID)
    BA62836415
  • ISBN
    • 0761920269
    • 0761920277
  • LCCN
    2002014928
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Thousand Oaks, CA
  • ページ数/冊数
    xiv, 206 p.
  • 大きさ
    24 cm
  • 分類
  • 件名
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